An Appraisal of Common Reweighting Methods for Nonresponse in Household Surveys Based on the Norwegian Labour Force Survey and the Statistics on Income and Living Conditions Survey
Despite increasing efforts during data collection, nonresponse remains sizeable in many household surveys. Statistical adjustment is hence unavoidable. By reweighting the design, weights of the respondents are adjusted to compensate for nonresponse. However, there is no consensus on how this should...
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Online Access: | https://doi.org/10.2478/jos-2020-0008 |
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doaj-fd64260c1bee4c2c9d838e8e6ec199ce2021-09-06T19:41:48ZengSciendoJournal of Official Statistics2001-73672020-03-0136115117210.2478/jos-2020-0008jos-2020-0008An Appraisal of Common Reweighting Methods for Nonresponse in Household Surveys Based on the Norwegian Labour Force Survey and the Statistics on Income and Living Conditions SurveyNguyen Nancy Duong0Zhang Li-Chun1School of Mathematical Sciences, University College Dublin, Belfield, Dublin 4, Ireland.Department of Social Statistics and Demography, University of Southampton, Southampton, UK.Despite increasing efforts during data collection, nonresponse remains sizeable in many household surveys. Statistical adjustment is hence unavoidable. By reweighting the design, weights of the respondents are adjusted to compensate for nonresponse. However, there is no consensus on how this should be carried out in general. Theoretical comparisons are inconclusive in the literature, and the associated simulation studies involve hypothetical situations not all equally relevant to reality. In this article we evaluate the three most common reweighting approaches in practice, based on real data in Norway from the two largest household surveys in the European Statistical System. We demonstrate how cross- examination of various reweighting estimators can help inform the effectiveness of the available auxiliary variables and the choice of the weight adjustment method.https://doi.org/10.2478/jos-2020-0008unit nonresponseauxiliary variable selection: inverse propensity weightinggeneralised regression estimationdoubly robust estimation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Nguyen Nancy Duong Zhang Li-Chun |
spellingShingle |
Nguyen Nancy Duong Zhang Li-Chun An Appraisal of Common Reweighting Methods for Nonresponse in Household Surveys Based on the Norwegian Labour Force Survey and the Statistics on Income and Living Conditions Survey Journal of Official Statistics unit nonresponse auxiliary variable selection: inverse propensity weighting generalised regression estimation doubly robust estimation |
author_facet |
Nguyen Nancy Duong Zhang Li-Chun |
author_sort |
Nguyen Nancy Duong |
title |
An Appraisal of Common Reweighting Methods for Nonresponse in Household Surveys Based on the Norwegian Labour Force Survey and the Statistics on Income and Living Conditions Survey |
title_short |
An Appraisal of Common Reweighting Methods for Nonresponse in Household Surveys Based on the Norwegian Labour Force Survey and the Statistics on Income and Living Conditions Survey |
title_full |
An Appraisal of Common Reweighting Methods for Nonresponse in Household Surveys Based on the Norwegian Labour Force Survey and the Statistics on Income and Living Conditions Survey |
title_fullStr |
An Appraisal of Common Reweighting Methods for Nonresponse in Household Surveys Based on the Norwegian Labour Force Survey and the Statistics on Income and Living Conditions Survey |
title_full_unstemmed |
An Appraisal of Common Reweighting Methods for Nonresponse in Household Surveys Based on the Norwegian Labour Force Survey and the Statistics on Income and Living Conditions Survey |
title_sort |
appraisal of common reweighting methods for nonresponse in household surveys based on the norwegian labour force survey and the statistics on income and living conditions survey |
publisher |
Sciendo |
series |
Journal of Official Statistics |
issn |
2001-7367 |
publishDate |
2020-03-01 |
description |
Despite increasing efforts during data collection, nonresponse remains sizeable in many household surveys. Statistical adjustment is hence unavoidable. By reweighting the design, weights of the respondents are adjusted to compensate for nonresponse. However, there is no consensus on how this should be carried out in general. Theoretical comparisons are inconclusive in the literature, and the associated simulation studies involve hypothetical situations not all equally relevant to reality. In this article we evaluate the three most common reweighting approaches in practice, based on real data in Norway from the two largest household surveys in the European Statistical System. We demonstrate how cross- examination of various reweighting estimators can help inform the effectiveness of the available auxiliary variables and the choice of the weight adjustment method. |
topic |
unit nonresponse auxiliary variable selection: inverse propensity weighting generalised regression estimation doubly robust estimation |
url |
https://doi.org/10.2478/jos-2020-0008 |
work_keys_str_mv |
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